Design of experiments on 135 cloned poplar trees to map environmental influence in greenhouse

To find and ascertain phenotypic differences, minimal variation between biological replicates is always desired. Variation between the replicates can originate from genetic transformation but also from environmental effects in the greenhouse. Design of experiments (DoE) has been used in field trials...

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Bibliographic Details
Published in:Analytica chimica acta 2011-01, Vol.685 (2), p.127-131
Main Authors: Pinto, Rui Climaco, Stenlund, Hans, Hertzberg, Magnus, Lundstedt, Torbjörn, Johansson, Erik, Trygg, Johan
Format: Article
Language:English
Subjects:
Applied sciences
Cloning, Organism
Design of experiments
Ecological Systems, Closed
Environment
environmental factors
Exact sciences and technology
experimental design
fertilizer rates
field experimentation
Functional genomics
genetic transformation
genomics
Global environmental pollution
Green house
greenhouse experimentation
greenhouses
Multivariate Analysis
OPLS
Orthogonal projections to latent structures (OPLS)
phenotypic variation
Pollution
Poplar
Populus - anatomy & histology
Populus - genetics
Populus - growth & development
Populus tremula
Quality Control
Research Design - standards
Rotation
shoots
statistical analysis
trees
Trees - anatomy & histology
Trees - genetics
Trees - growth & development
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Summary:To find and ascertain phenotypic differences, minimal variation between biological replicates is always desired. Variation between the replicates can originate from genetic transformation but also from environmental effects in the greenhouse. Design of experiments (DoE) has been used in field trials for many years and proven its value but is underused within functional genomics including greenhouse experiments. We propose a strategy to estimate the effect of environmental factors with the ultimate goal of minimizing variation between biological replicates, based on DoE. DoE can be analyzed in many ways. We present a graphical solution together with solutions based on classical statistics as well as the newly developed OPLS methodology. In this study, we used DoE to evaluate the influence of plant specific factors (plant size, shoot type, plant quality, and amount of fertilizer) and rotation of plant positions on height and section area of 135 cloned wild type poplar trees grown in the greenhouse. Statistical analysis revealed that plant position was the main contributor to variability among biological replicates and applying a plant rotation scheme could reduce this variation.
ISSN:0003-2670
1873-4324
1873-4324
DOI:10.1016/j.aca.2010.11.024